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Background- cycling competitions
Triplett was a keen sportsman
noticed that cyclists ride faster in a group
analysed naturally occurring data by looking at results from cycling events by the racing board of the League of American Wheelman
had data on:
races against other riders
paced races against time
unpaced paces against time
findings
races against other riders and paced races are faster than unpaced races
races against other riders- 26% (40 sec /mile) faster
paced races- 23% (34 sec /mile) faster
wheelmen themselves agree they improve between 20-39 sec faster /mile
why might paced races and other riders make you faster
suction- vacuum left behind by other riders
shelter- other riders provide shelter from wind resistance
encouragement- other riders keep the sprit up
worry- leading race= worry
hypnotic suggestion- wheel of the other riders has a hypnotic effect
automatic- followers ride automatically and pay less attention to strategy
dynamogenic- the bodily presence of another rider arouses competitive instinct
DASHEWS
the study
self-critique of the cycling data
Triplett highlighted the limitations of his cycling studies
is the difference in time between the racing against other people/time and unpaced due to the kind of men who take part?
selected quasi design means one set of racers may be better regardless of being up against others
confounding variable- self-selection, better riders with more experience go up against others of paced
worked in one of the first established experimental labs
the social facilitation experiment- method materials
‘competition machine’- two fishing reels that each pull a flag across a 4m circuit when reeled rapidly
stopwatch and kymograph- record time and graphical record of the rate participants turned fishing reel
gives visual comparison
did not use statistics back then
participants and procedure
N= 40 children (8-17 years)
practice rounds: until all children were familiar with the machine
trials: 6 trials of 4 rounds lasting 30-40 seconds each with a 5 min break in-between to ensure was not measuring muscle mass
then splits into group A and B:
A. alone, competition, alone, competition, alone, competition
B. alone, alone, competition, alone, competition, alone
this allowed Triplett to compare within and between subjects- controls for individual differences
findings
raw data published
3 tables presented:
positively stimulated (N= 20): faster times in competition
overstimulated (N= 10): slower times in competition
little affected (N=10): same times competition and alone
if he had done averages, this may not have come up
interpretation
overstimulated children rather than lack of motivation
stimulation bought a loss of control- intense desire to win when up against someone else resulted in overstimulation
accompanying phenomena= laboured breathing, flushed faces, stiffening or contraction of the muscles in the arm
Debate and controversy- statistical analysis of the data
Strube (2005)
did the statistical analysis of the data:
found there was a significant competition effect in trial 3 between group A (competition) and group B (alone)
no other significant differences
within subjects analysis
contrast between average competition times and average along times significant (p= 0.48)
what did other researchers examine
Triplett looked at why others might help, did not suggest when
other researchers looked at when:
Ringelmann: social loafing
Zajonc: social facilitation and social loafing in animals and humans
Latene: social inhibition (inhibited by others)
Ringelmann
Ringelmann effect
examined how group size effects individual effort
task:
men in groups of all different sizes pull on a rope
DV: force, same more or less together compared to when they do it alone
social facilitation effect would be reflected in more force together
findings:
increase in total force exerted is less than would be expected from the addition of individual sources
less force when pulling the rope together
may be motivational loss, also coordination loss
Zajonc (1965)
uses drive theory to explain inconsistencies in the research:
presence of others as a source of arousal
arousal tends to facilitate the dominant response
dominant response: simple/well learned task is performed (automatic response)
so in simple/well learned tasks- the presence of others leads to arousal and the correct dominant response
in complex/novel tasks- dominant response is usually incorrect and you don’t do so well
differences between social facilitation and social loafing
social facilitation research
focus on observers, audience etc
leads to arousal, elevation, distraction
social loafing research
co-workers or teammates
opportunity to reduce efforts- diffusion of responsibility
Impact
by publishing the first social psychological experiment, Triplett set the standard
provided the hallmarks of good research:
multiple methodologies
multiple theories, competing hypotheses
precision and attention to detail
modelling real-world dynamics in a controlled environment
controlled for confounding (within vs between subjects)
what does this study tell us about co-presence
co-presence- does it positively or negatively influence performance
Tripletts work sparked hundreds of studies on the way the presence of other people affects individual motivation and effort:
different others
different tasks
animals and humans
underlying processes
development of theories